Learning and Reasoning with Complex Representations (Paperback)

Grigoris Antoniou

ISBN 10: 354064413X / ISBN 13: 9783540644132

Published by Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Berlin, 1998

About this Item

Paperback. This book constitutes the thoroughly revised and refereed post-workshop documentation of two international workshops held in conjunction with the Pacific Rim International Conference on Artificial Intelligence, PRICAI'96, in Cairns, Australia, in August 1996.The volume presents 14 revised full papers togehter with two invited contributions and two introductory surveys particularly commissioned for this book. Among the topics addressed are computational learning, commonsense reasoning, constraint logic programming, fuzzy reasoning, vague data, inductive inference, belief revision, action theory, uncertainty, and probabilistic diagnosis. The volume presents 14 revised full papers together with two invited contributions and two introductory surveys particularly commissioned for this book. Among the topics addressed are computational learning, commonsense reasoning, constraint logic programming, fuzzy reasoning and vague data. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Seller Inventory # 9783540644132

Bibliographic Details

• Title: Learning and Reasoning with Complex Representations (Paperback)
• Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Berlin
• Publication Date: 1998
• Language: English
• ISBN 10: 354064413X
• ISBN 13: 9783540644132
• Binding: Paperback
• Condition: new

About this title

Synopsis

This book constitutes the thoroughly revised and refereed post-workshop documentation of two international workshops held in conjunction with the Pacific Rim International Conference on Artificial Intelligence, PRICAI'96, in Cairns, Australia, in August 1996.
The volume presents 14 revised full papers togehter with two invited contributions and two introductory surveys particularly commissioned for this book. Among the topics addressed are computational learning, commonsense reasoning, constraint logic programming, fuzzy reasoning, vague data, inductive inference, belief revision, action theory, uncertainty, and probabilistic diagnosis.